# Why does increasing the number of identical parallel operations increases each operation time?

**URL:** <https://discourse.julialang.org/t/why-does-increasing-the-number-of-identical-parallel-operations-increases-each-operation-time/57014>\
**Category:** Performance\
**Tags:** linearalgebra, distributed\
**Created:** [March 12, 2021, 11:08am UTC](https://discourse.julialang.org/t/why-does-increasing-the-number-of-identical-parallel-operations-increases-each-operation-time/57014 "2021-03-12T11:08:36Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![lmiq](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/lmiq/32/18314_2.png) [@lmiq](https://discourse.julialang.org/u/lmiq)\
**Post date:** [March 12, 2021, 2:00pm UTC](https://discourse.julialang.org/t/why-does-increasing-the-number-of-identical-parallel-operations-increases-each-operation-time/57014/7 "2021-03-12T14:00:21Z")

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> [@matthiasbe](#):
>
> I don’t know if the scaling issue came from the RNG or from something else though.

I created a [new thread](https://discourse.julialang.org/t/random-number-and-parallel-execution/57024) here about the possible issues with the random number generator, which may or may not be related to what you are seeing. I am not sure either. Let us see what we learn there 🙂

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